Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
23
datasets available to search
ShareScore release 0.9.0
Dataset results
23 results for “SAFE Project”
SRTM derived hydrological data for the SAFE Project
<b>Description: </b><p>These files contain flow direction and flow accumulation data for the area surrounding the SAFE Project. The data were derived using compiled Shuttle Radar Topograpy Mission (SRTM) 30m resolution elevation data for the region (<a href="https://zenodo.org/record/630004">https://zenodo.org/record/630004) using the GRASS GIS <code>r.watershed</code> tool.<br><br>Further details of the geoprocessing can be found here: </a><a href="https://www.safeproject.net/dokuwiki/safe_gis/hydrology">https://www.safeproject.net/dokuwiki/safe_gis/hydrology</a>.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3490687">here</a></p><p><b>Files: </b>This dataset consists of 3 files: SAFE_SRTM_hydrology_metadata.xlsx, SRTM_Flow_Direction.tif, SRTM_Log_Flow_Accum.tif</p><p><b>SAFE_SRTM_hydrology_metadata.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>SRTM_Flow_Direction.tif</b></p><p>Description: Flow direction data in UTM 50N geotiff</p><p><b>SRTM_Log_Flow_Accum.tif</b></p><p>Description: Flow accumulation data in UTM50N geotiff</p><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.0223 to 5.9761</p><p><b>Longitudinal extent: </b>116.0242 to 117.9758</p>
SRTM elevation data for the SAFE Project
<b>Description: </b><p>These files contain processed data from the Shuttle Radar Topograpy Mission (SRTM), providing 30 metre resolution elevation data across the research areas used in the SAFE Project .<br><br>The SRTM data used in these datasets was collected by NASA and the NGI and is freely downloadable. These files combine four panes of SRTM data to cover the SAFE sampling region and carry out some simple geoprocessing to produce a set of output files in the UTM 50N projection. Details of the geoprocessing can be found here: <a href="https://www.safeproject.net/dokuwiki/safe_gis/srtm">https://www.safeproject.net/dokuwiki/safe_gis/srtm</a>.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3490488">here</a></p><p><b>Files: </b>This dataset consists of 6 files: SAFE_SRTM_metadata.xlsx, SRTM_UTM50N_processed.tif, SRTM_UTM50N_contour.zip, SRTM_UTM50N_aspect.tif, SRTM_UTM50N_seamask.tif, SRTM_UTM50N_slope.tif</p><p><b>SAFE_SRTM_metadata.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>SRTM_UTM50N_processed.tif</b></p><p>Description: Elevation data in UTM 50N geotiff</p><p><b>SRTM_UTM50N_contour.zip</b></p><p>Description: Zipped shapefile of 100 metre contours generated from raster data</p><p><b>SRTM_UTM50N_aspect.tif</b></p><p>Description: Derived slope aspect data in UTM 50N geotiff</p><p><b>SRTM_UTM50N_seamask.tif</b></p><p>Description: Seamask used in data processing in UTM 50N geotiff</p><p><b>SRTM_UTM50N_slope.tif</b></p><p>Description: Derived slope angle data in UTM 50N geotiff</p><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.0223 to 5.9761</p><p><b>Longitudinal extent: </b>116.0242 to 117.9758</p>
ASTER elevation data for the SAFE Project
<b>Description: </b><p>These files contain processed data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument, providing 1 arc second (~30 metre) resolution elevation data across the research areas used in the SAFE Project.<br><br>The ASTER data used in these datasets was collected by the NASA TERRA satellite. Although it is freely downloadable, ASTER data downloaded for a project <b>should not be redistributed outside of that project</b>. Accordingly, these data should <b>only</b> be used for research carried out at the SAFE Project.<br><br> These files combine four panes of ASTER data to cover the SAFE sampling region and carry out some simple geoprocessing to produce a single output files. Details of the geoprocessing can be found here: <a href="https://www.safeproject.net/dokuwiki/safe_gis/aster">https://www.safeproject.net/dokuwiki/safe_gis/aster</a>. In general, SRTM data is preferable for most use cases at SAFE, (see <a href="https://zenodo.org/record/3490488">https://zenodo.org/record/3490488</a>) but is provided here for comparison.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3491956">here</a></p><p><b>Files: </b>This dataset consists of 2 files: SAFE_Aster_metadata.xlsx, ASTER_WGS84_raw.tif</p><p><b>SAFE_Aster_metadata.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>ASTER_WGS84_raw.tif</b></p><p>Description: ASTER elevation data in WGS84 geotiff</p><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.0000 to 6.0000</p><p><b>Longitudinal extent: </b>116.0000 to 118.0000</p>
Amphibian survey of riparian buffer zones at SAFE Project, Borneo
<b>Description: </b><p>Results from amphibian surveys carried out along riparian transect sites at SAFE project, Borneo</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/152"><b>MRes Tropical Forest Ecology Field Course</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3973551">here</a></p><p><b>Files: </b>This consists of 1 file: frogs_data_rob.xlsx</p><p><b>frogs_data_rob.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>Stream Overview</b> (described in worksheet StreamMeasuresParent)</p><p>Description: Survey overview details</p><p>Number of fields: 16</p><p>Number of data rows: 12</p><p>Fields: </p><ul><li><b>ec5_uuid</b>: EpiCollect 5 code (Field type: id)</li><li><b>created_at</b>: Date and time of measurement (Field type: date)</li><li><b>created_by</b>: Researcher contact email (Field type: id)</li><li><b>title</b>: Survey location and visit (Field type: id)</li><li><b>2_Stream_ID</b>: Stream idenity code (Field type: location)</li><li><b>RiparianWidth</b>: Riparian buffer width (Field type: numeric)</li><li><b>lat_3_GPS_Location</b>: Latitude (Field type: numeric)</li><li><b>long_3_GPS_Location</b>: Longitude (Field type: numeric)</li><li><b>accuracy_3_GPS_Location</b>: Accuracy of GPS location data (Field type: numeric)</li><li><b>4_Visit</b>: Visit number (Field type: id)</li><li><b>5_Photo_of_stream_la</b>: File ID of photo of river (Field type: id)</li><li><b>7_Start_Time</b>: Time sampling started (Field type: time)</li><li><b>8_Date_ddMMYYYY</b>: Calendar date of sampling (Field type: date)</li><li><b>9_Comments_weather_e</b>: Weather conditions (Field type: comments)</li><li><b>11_Surveyors</b>: Identity of surveyors (Field type: id)</li><li><b>12_RAs</b>: Identity of research assistants (Field type: id)</li></ul></li><li><p><b>Stream characteristics</b> (described in worksheet StreamMeasures)</p><p>Description: Stream characteristics (dimensions, canopy cover and substrate)</p><p>Number of fields: 19</p><p>Number of data rows: 105</p><p>Fields: </p><ul><li><b>ec5_parent_uuid</b>: EpiCollect 5 code (Field type: id)</li><li><b>created_at</b>: Date and time of measurement (Field type: datetime)</li><li><b>created_by</b>: Researcher contact email (Field type: id)</li><li><b>StreamID</b>: Stream idenity code (Field type: location)</li><li><b>15_Marker_point</b>: Identity of marker point (Field type: id)</li><li><b>SiteCode</b>: Location code of site (Field type: location)</li><li><b>Width</b>: Width of stream bed (Field type: numeric)</li><li><b>17_Upstream_Canopy</b>: Percentage of canopy cover upstream from point (Field type: numeric)</li><li><b>18_Downstream_Canopy</b>: Percentage of canopy cover downstream from point (Field type: numeric)</li><li><b>19_Left_Canopy</b>: Percentage of canopy cover to left of point (Field type: numeric)</li><li><b>20_Right_Canopy</b>: Percentage of canopy cover to right of point (Field type: numeric)</li><li><b>20_Large_boulder__co</b>: Percentage coverage by large boulders (Field type: numeric)</li><li><b>21_Medium_rock__cove</b>: Percentage coverage by medium rocks (Field type: numeric)</li><li><b>22_Small_rock__cover</b>: Percentage coverage by small rocks (Field type: numeric)</li><li><b>23_Gravel__cover</b>: Percentage coverage by gravel (Field type: numeric)</li><li><b>24_Sand__cover</b>: Percentage coverage by sand (Field type: numeric)</li><li><b>25_MudGround__cover</b>: Percentage coverage by mud (Field type: numeric)</li><li><b>26_Substrate_cover_o</b>: Percentage coverage by other substrate type (Field type: categorical)</li><li><b>27_Water_flow_at_poi</b>: Water flow at point (Field type: categorical)</li></ul></li><li><p><b>Frog species </b> (described in worksheet FrogData)</p><p>Description: Recorded frog species and associated body measurements</p><p>Number of fields: 19</p><p>Number of data rows: 785</p><p>Fields: </p><ul><li><b>Stream_ID</b>: Stream identification code (Field type: location)</li><li><b>Date</b>: Date (Field type: date)</li><li><b>23_Closest_Marker</b>: Distance along transect at which frog was recorded (Field type: numeric)</li><li><b>SiteCode</b>: Location code of recorded frog (Field type: location)</li><li><b>24_Horizontal_Distan</b>: Approximate distance of recorded frog from stream bed (Field type: numeric)</li><li><b>25_Vertical_Distance</b>: Approximate distance of recorded frog above stream bed (Field type: numeric)</li><li><b>27_Substrate</b>: Substrate on which frog was recorded (Field type: categorical)</li><li><b>28_Substrate_if_othe</b>: Secondary substrate on which frog was recorded (Field type: categorical)</li><li><b>30_Dorsal</b>: EpiCollect 5 code for photograph (dorsal) of recorded frog species (Field type: id)</li><li><b>31_Ventral</b>: EpiCollect 5 code for photograph (ventral) of recorded frog species (Field type: id)</li><li><b>32_Left_side</b>: EpiCollect 5 code for photograph (left-side) of recorded frog species (Field type: id)</li><li><b>33_Right_side</b>: EpiCollect 5 code for photograph (right-side) of recorded frog species (Field type: id)</li><li><b>Species</b>: Species or Genus level identity (Field type: taxa)</li><li><b>36_Mass_of_frog_in_bag</b>: Combined mass of frog and bag (Field type: numeric)</li><li><b>38_Mass_of_empty_bag</b>: Mass of bag alone (Field type: numeric)</li><li><b>Mass_of_frog</b>: Mass of frog (Field type: numeric trait)</li><li><b>40_SnoutVent_Length</b>: Snout-vent length of frog (Field type: numeric trait)</li><li><b>Comment</b>: Comments on frog identity (Field type: comments)</li><li><b>Sex</b>: Sex of frog (Field type: categorical trait)</li></ul></li></ol><p><b>Date range: </b>2019-02-04 to 2019-02-13</p><p><b>Latitudinal extent: </b>4.6498 to 4.7273</p><p><b>Longitudinal extent: </b>117.5413 to 117.6414</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Amphibia <br> -  -  -  -  Anura <br> -  -  -  -  -  [Other] <br> -  -  -  -  -  Bufonidae <br> -  -  -  -  -  -  <i>Ansonia</i> <br> -  -  -  -  -  -  -  <i>Ansonia spinulifer</i> <br> -  -  -  -  -  -  <i>Phrynoidis</i> <br> -  -  -  -  -  -  -  <i>Phrynoidis juxtaspera</i> <br> -  -  -  -  -  Dicroglossidae <br> -  -  -  -  -  -  <i>Limnonectes</i> <br> -  -  -  -  -  -  -  <i>Limnonectes finchi</i> <br> -  -  -  -  -  -  -  <i>Limnonectes kuhlii</i> <br> -  -  -  -  -  -  -  <i>Limnonectes leporinus</i> <br> -  -  -  -  -  -  -  <i>Limnonectes palavanensis</i> <br> -  -  -  -  -  -  <i>Ingerana</i> <br> -  -  -  -  -  -  -  <i>Ingerana baluensis</i> (as homotypic_synonym: <i>Occidozyga baluensis</i>)<br> -  -  -  -  -  -  <i>Fejervarya</i> <br> -  -  -  -  -  -  -  <i>Fejervarya limnocharis</i> <br> -  -  -  -  -  -  <i>Occidozyga</i> <br> -  -  -  -  -  -  -  <i>Occidozyga laevis</i> <br> -  -  -  -  -  Ranidae <br> -  -  -  -  -  -  <i>Chalcorana</i> <br> -  -  -  -  -  -  -  <i>Chalcorana megalonesa</i> <br> -  -  -  -  -  -  -  <i>Chalcorana raniceps</i> <br> -  -  -  -  -  -  <i>Meristogenys</i> <br> -  -  -  -  -  -  -  <i>Meristogenys orphnocnemis</i> <br> -  -  -  -  -  -  <i>Hylarana</i> <br> -  -  -  -  -  -  -  <i>Hylarana picturata</i> (as synonym: <i>Pulchrana picturata</i>)<br> -  -  -  -  -  -  <i>Staurois</i> <br> -  -  -  -  -  -  -  <i>Staurois guttatus</i> <br> -  -  -  -  -  -  -  <i>Staurois latopalmatus</i> <br> -  -  -  -  -  Megophryidae <br> -  -  -  -  -  -  <i>Leptolalax</i> <br> -  -  -  -  -  -  -  <i>Leptolalax fritinniens</i> <br> -  -  -  -  -  -  -  <i>Leptolalax gracilis</i> <br> -  -  -  -  -  -  <i>Leptobrachium</i> <br> -  -  -  -  -  -  -  <i>Leptobrachium abbotti</i> <br> -  -  -  -  -  Rhacophoridae <br> -  -  -  -  -  -  <i>Rhacophorus</i> <br> -  -  -  -  -  -  -  <i>Rhacophorus pardalis</i> <br> -  -  -  -  -  -  <i>Polypedates</i> <br> -  -  -  -  -  -  -  <i>Polypedates macrotis</i> <br></div><p></p>
All Fish catch data at the SAFE project 2011-2019
<b>Description: </b><p>All fish catch data of all methods across all streams sampled at the SAFE project, Danum Valley and surrounding oil palm areas. Please note this is the raw dataset and may contain errors that need correcting/editing. I have tried to correct the majority of errors, but all were corrected in seperate files prior to analysis, so please see specific datasets in relation to specific papers already published. All changes are detailed in the notes column or listed here if more general. <br><br>All Rasbora caught in 2013 are labelled as cf. sumatrana as they were not differentiated from R. hubbsi. All Systomus changed to Barbodes. All Tor labelled as T. tambra, with no differentiation between tambra and tambroides. From 2018 onwards, all R. sumatrana have been renamed as R. pycnopeza. New captures were not pit tagged. Fish mortality are tracked in the data. <br><br>In 2018, some sites were sampled twice. <br><br>In this version, several changes and new spreadsheets have been added on top of previous versions. This includes: 1. Electrofishing setup - the voltage used in electrofishing corresponding to the conductivity measured; 2. Stream _variables along transect- detailed environmental data collect along transect at each site; 3. Riparian survey, with data on the riparian surveys along the fishing transect. The sheet "Data" has been renamed Capture_Data. Environmental data 2017 sheet has been renamed and updated to Environmental Data site level, to include summarized data by site and by year.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/57"><b>Composition and abundance of tropical freshwater vertebrate communities across a land use gradient</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=4072959">here</a></p><p><b>Files: </b>This consists of 1 file: RawDataFish_with_Riparian_V3.0.xlsx</p><p><b>RawDataFish_with_Riparian_V3.0.xlsx</b></p><p>This file contains dataset metadata and 6 data tables:</p><ol><li><p><b>Capture_Data</b> (described in worksheet Capture_Data)</p><p>Description: Fish catch data </p><p>Number of fields: 18</p><p>Number of data rows: 18994</p><p>Fields: </p><ul><li><b>Date</b>: Date that stream was sampled (Field type: date)</li><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>RA.</b>: Which research assistant helped do the work? (Field type: comments)</li><li><b>Researcher</b>: Which researcher conducted the work? (Field type: categorical)</li><li><b>Method</b>: What method was used to catch the fish (Field type: categorical)</li><li><b>Cast_or_Trap_Numer</b>: The cast or trap numer that the fish was caught at (Field type: numeric)</li><li><b>Distance</b>: The distance along the transect in which the fish was caught (Field type: numeric)</li><li><b>Taxon</b>: Species sampled (Field type: taxa)</li><li><b>N</b>: The number of fish caught at that stream, location and date (Field type: numeric)</li><li><b>Pittagnumber</b>: The 10 digit pit tag number (Field type: id)</li><li><b>Recapture</b>: Has this fish been caught before? (Field type: categorical)</li><li><b>Length</b>: Total length of fish (Field type: numeric)</li><li><b>Weight</b>: Weight of fish (Field type: numeric)</li><li><b>Specimen</b>: Was this fish taken as a specimen? (Field type: categorical)</li><li><b>Stable_isotope_Fin</b>: Number of the stable isotope sample of all fin clips if they were taken (Field type: numeric)</li><li><b>Stable_isotope_Muscle</b>: Number of the stable isotope sample of all muscle samples if they were taken (Field type: numeric)</li><li><b>Notes</b>: Notes, includes any data changes, fish deaths etc. (Field type: comments)</li><li><b>Mortality</b>: Mortality - fish deaths (Field type: categorical)</li></ul></li><li><p><b>Electofishing_Setup</b> (described in worksheet Electofishing_Setup)</p><p>Description: The voltage and conductivity used for electrofishing</p><p>Number of fields: 7</p><p>Number of data rows: 60</p><p>Fields: </p><ul><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>Date</b>: Date that stream was sampled (Field type: date)</li><li><b>Conductivity_of_stream</b>: Stream conductivity (Field type: numeric)</li><li><b>Stream_temperature</b>: Stream water temperature (Field type: numeric)</li><li><b>RunNum</b>: Which electrofishing pass (run) (Field type: numeric)</li><li><b>Voltage</b>: Voltage set on the electrofishing kit (Field type: numeric)</li><li><b>Electrofisher</b>: Data collectors (Field type: id)</li></ul></li><li><p><b>Stream_Variables along transect</b> (described in worksheet Stream_Variables along transect)</p><p>Description: Stream environmental data along fishing transect of each site. Data from 2018 onwards</p><p>Number of fields: 13</p><p>Number of data rows: 131</p><p>Fields: </p><ul><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>Date</b>: Date measured (Field type: date)</li><li><b>Landuse</b>: Landuse of the stream sampled (Field type: categorical)</li><li><b>Distance_on_stream</b>: Distance of measured stream variables along transect (Field type: numeric)</li><li><b>Flow</b>: Average flow of the stream (Field type: numeric)</li><li><b>Wetted_width</b>: wetted width of the stream (Field type: numeric)</li><li><b>Depth</b>: Average stream depth (Field type: numeric)</li><li><b>sand</b>: Stream substrate (Field type: numeric)</li><li><b>gravel</b>: Stream substrate (Field type: numeric)</li><li><b>pebbles</b>: Stream substrate (Field type: numeric)</li><li><b>large_rocks</b>: Stream substrate (Field type: numeric)</li><li><b>bedrock</b>: Stream substrate (Field type: numeric)</li><li><b>Notes</b>: Notes, includes any data changes, fish deaths etc. (Field type: comments)</li></ul></li><li><p><b>Riparian survey along transect</b> (described in worksheet Riparian_survey_along_transect)</p><p>Description: Riparian surveys of each stream along the 500m transect. Data from 2018 onwards</p><p>Number of fields: 15</p><p>Number of data rows: 352</p><p>Fields: </p><ul><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>Date</b>: Sampling date (Field type: date)</li><li><b>Landuse</b>: Landuse of the stream sampled (Field type: categorical)</li><li><b>Distance</b>: Distance on the stream from first RT plot point (Field type: numeric)</li><li><b>Upstream</b>: Canopy openness (Field type: numeric)</li><li><b>away_from_stream</b>: Canopy openness (Field type: numeric)</li><li><b>downstream</b>: Canopy opennes (Field type: numeric)</li><li><b>Towards_river</b>: Canopy openness (Field type: numeric)</li><li><b>Average_total_area_not_occupied</b>: Average reading across the 4 (Field type: numeric)</li><li><b>Percent_area_not_occupied</b>: Percent overhead area not occupied by canopy (Field type: numeric)</li><li><b>Overstory_density_</b>: Overstory density - area occupied (Field type: numeric)</li><li><b>Vine_cover</b>: Estimation of vine cover (Field type: numeric)</li><li><b>Forest_quality_score</b>: Visual assessment of the forest quality (Field type: numeric)</li><li><b>Notes</b>: Notes or remarks (Field type: comments)</li><li><b>Ras</b>: Data collectors (Field type: id)</li></ul></li><li><p><b>EnvironmentalData_sitelevel</b> (described in worksheet EnvironmentalData_sitelevel)</p><p>Description: Averaged data of streams on a site level</p><p>Number of fields: 23</p><p>Number of data rows: 51</p><p>Fields: </p><ul><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>Year</b>: Sampling year (Field type: date)</li><li><b>Landuse</b>: Landuse of the stream sampled (Field type: categorical)</li><li><b>Turbidity</b>: Stream water turbidity (Field type: numeric)</li><li><b>Flow</b>: Average flow of the stream (Field type: numeric)</li><li><b>Wetted_width</b>: Average wetted width of the stream (Field type: numeric)</li><li><b>Depth</b>: Average stream depth (Field type: numeric)</li><li><b>sand</b>: Average stream substrate (Field type: numeric)</li><li><b>gravel</b>: Average Stream substrate (Field type: numeric)</li><li><b>pebbles</b>: Average stream substrate (Field type: numeric)</li><li><b>large_rocks</b>: Average stream substrate (Field type: numeric)</li><li><b>bedrock</b>: Average stream substrate (Field type: numeric)</li><li><b>Littoral.leaf.litter.cover</b>: Average leaf litter on stream bed (Field type: numeric)</li><li><b>pH</b>: Stream pH (Field type: numeric)</li><li><b>Temperature</b>: Stream water temperature (Field type: numeric)</li><li><b>O2</b>: Dissolved oxygen (Field type: numeric)</li><li><b>Conductivity</b>: Stream conductivity (Field type: numeric)</li><li><b>Canopy.openness</b>: Averaged canopy openness above the stream, average from upstream, downstream, left and right bank measurements (Field type: numeric)</li><li><b>Sedimentation</b>: Is there sediment within the stream? Yes or No (Field type: categorical)</li><li><b>CanopyOpennessRiparian</b>: Average canopy openness in the riparian, average from upstream, downstream, away from the stream and towards the stream measurements (Field type: numeric)</li><li><b>Vine</b>: Average % vine cover (Field type: numeric)</li><li><b>FQ</b>: Average SAFE project forest quality score (0-5) (Field type: numeric)</li><li><b>Tree</b>: Average density of trees (Field type: numeric)</li></ul></li><li><p><b>Riparian_OP 2017</b> (described in worksheet Riparian_OP 2017)</p><p>Description: Averaged data by stream of all measured environmental variables for OP streams in 2017</p><p>Number of fields: 24</p><p>Number of data rows: 20</p><p>Fields: </p><ul><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>Landuse</b>: Landuse of the stream sampled (Field type: categorical)</li><li><b>Turbidity</b>: Stream water turbidity (Field type: numeric)</li><li><b>Flow</b>: Average flow of the stream (Field type: numeric)</li><li><b>Wetted_width</b>: wetted width of the stream (Field type: numeric)</li><li><b>Depth</b>: Average stream depth (Field type: numeric)</li><li><b>sand</b>: Stream substrate (Field type: numeric)</li><li><b>gravel</b>: Stream substrate (Field type: numeric)</li><li><b>pebbles</b>: Stream substrate (Field type: numeric)</li><li><b>large_rocks</b>: Stream substrate (Field type: numeric)</li><li><b>bedrock</b>: Stream substrate (Field type: numeric)</li><li><b>Littoral.leaf.litter.cover</b>: leaf litter on stream bed (Field type: numeric)</li><li><b>pH</b>: Stream pH (Field type: numeric)</li><li><b>Temperature</b>: Stream water temperature (Field type: numeric)</li><li><b>O2</b>: Dissolved oxygen (Field type: numeric)</li><li><b>Conductivity</b>: Stream conductivity (Field type: numeric)</li><li><b>Canopy.openness</b>: Canopy openness above the stream, average from upstream, downstream, left and right bank measurements (Field type: numeric)</li><li><b>Sedimentation</b>: NA (Field type: categorical)</li><li><b>CanopyOpennessRiparian</b>: Canopy openness in the riparian, average from upstream, downstream, away from the stream and towards the stream measurements (Field type: numeric)</li><li><b>Vine</b>: % vine cover (Field type: numeric)</li><li><b>FQ</b>: Average SAFE project forest quality score (0-1) (Field type: numeric)</li><li><b>Tree</b>: Density of trees (Field type: numeric)</li><li><b>DateOPplanted2</b>: Years since oil palm was planted (compared to 2017 sampling date) (Field type: numeric)</li><li><b>Average500_2bank</b>: Average width of riparian buffers as the sum of both sides of the river. Averaged over 11 locations measured on GIS, but with the width of the river removed. (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2011-09-19 to 2020-02-18</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Amphibia <br> -  -  -  Actinopterygii <br> -  -  -  -  Synbranchiformes <br> -  -  -  -  -  Mastacembelidae <br> -  -  -  -  -  -  <i>Mastacembelus</i> <br> -  -  -  -  -  -  -  <i>Mastacembelus unicolor</i> <br> -  -  -  -  -  -  <i>Macrognathus</i> <br> -  -  -  -  -  -  -  <i>Macrognathus keithi</i> <br> -  -  -  -  Anguilliformes <br> -  -  -  -  -  Anguillidae <br> -  -  -  -  -  -  <i>Anguilla</i> <br> -  -  -  -  -  -  -  <i>Anguilla borneensis</i> <br> -  -  -  -  -  -  -  <i>Anguilla marmorata</i> <br> -  -  -  -  Siluriformes <br> -  -  -  -  -  Bagridae <br> -  -  -  -  -  -  <i>Hemibagrus</i> <br> -  -  -  -  -  -  -  <i>Hemibagrus baramensis</i> <br> -  -  -  -  -  -  -  <i>Hemibagrus fortis</i> <br> -  -  -  -  -  Clariidae <br> -  -  -  -  -  -  <i>Clarias</i> <br> -  -  -  -  -  -  -  <i>Clarias anfractus</i> <br> -  -  -  -  -  -  -  <i>Clarias teysmanni</i> <br> -  -  -  -  Cypriniformes <br> -  -  -  -  -  Balitoridae <br> -  -  -  -  -  -  <i>Protomyzon</i> <br> -  -  -  -  -  -  -  <i>Protomyzon borneensis</i> <br> -  -  -  -  -  -  -  <i>Protomyzon griswoldi</i> <br> -  -  -  -  -  -  -  <i>Protomyzon whiteheadi</i> <br> -  -  -  -  -  -  <i>Homalopteroides</i> <br> -  -  -  -  -  -  -  <i>Homalopteroides stephensoni</i> <br> -  -  -  -  -  -  <i>Parhomaloptera</i> <br> -  -  -  -  -  -  -  <i>Parhomaloptera microstoma</i> <br> -  -  -  -  -  -  <i>Gastromyzon</i> <br> -  -  -  -  -  -  -  <i>Gastromyzon ingeri</i> <br> -  -  -  -  -  -  -  <i>Gastromyzon lepidogaster</i> <br> -  -  -  -  -  -  -  <i>Gastromyzon umbrus</i> <br> -  -  -  -  -  Nemacheilidae <br> -  -  -  -  -  -  <i>Nemacheilus</i> <br> -  -  -  -  -  -  -  <i>Nemacheilus olivaceus</i> <br> -  -  -  -  -  Cyprinidae <br> -  -  -  -  -  -  <i>Cyclocheilichthys</i> <br> -  -  -  -  -  -  <i>Luciosoma</i> <br> -  -  -  -  -  -  -  <i>Luciosoma pelligrinii</i> <br> -  -  -  -  -  -  <i>Barbonymus</i> <br> -  -  -  -  -  -  -  <i>Barbodes collingwoodi</i> <br> -  -  -  -  -  -  -  <i>Barbonymus balleroides</i> <br> -  -  -  -  -  -  <i>Rasbora</i> <br> -  -  -  -  -  -  -  <i>Rasbora pycnopeza</i> <br> -  -  -  -  -  -  -  <i>Rasbora elegans</i> <br> -  -  -  -  -  -  -  <i>Rasbora hubbsi</i> <br> -  -  -  -  -  -  <i>Hampala</i> <br> -  -  -  -  -  -  -  <i>Hampala sabana</i> <br> -  -  -  -  -  -  <i>Crossocheilus</i> <br> -  -  -  -  -  -  -  <i>Crossocheilus elegans</i> <br> -  -  -  -  -  -  <i>Leptobarbus</i> <br> -  -  -  -  -  -  -  <i>Leptobarbus melanotaenia</i> <br> -  -  -  -  -  -  <i>Lobocheilos</i> <br> -  -  -  -  -  -  -  <i>Lobocheilos erinaceus</i> <br> -  -  -  -  -  -  -  <i>Lobocheilos unicornis</i> <br> -  -  -  -  -  -  <i>Anematichthys</i> <br> -  -  -  -  -  -  -  <i>Anematichthys repasson</i> (as synonym: <i>Cyclocheilichthys repasson</i>)<br> -  -  -  -  -  -  <i>Nematabramis</i> <br> -  -  -  -  -  -  -  <i>Nematabramis borneensis</i> <br> -  -  -  -  -  -  -  <i>Nematabramis everetti</i> <br> -  -  -  -  -  -  <i>Osteochilus</i> <br> -  -  -  -  -  -  -  <i>Osteochilus chini</i> <br> -  -  -  -  -  -  -  <i>Osteochilus ingeri</i> <br> -  -  -  -  -  -  <i>Tor</i> <br> -  -  -  -  -  -  -  <i>Tor tambra</i> <br> -  -  -  -  -  -  <i>Puntius</i> <br> -  -  -  -  -  -  -  <i>Puntius sealei</i> (as synonym: <i>Barbodes sealei</i>)<br> -  -  -  -  -  -  <i>Garra</i> <br> -  -  -  -  -  -  -  <i>Garra borneensis</i> <br> -  -  -  -  Perciformes <br> -  -  -  -  -  Channidae <br> -  -  -  -  -  -  <i>Channa</i> <br> -  -  -  -  -  -  -  <i>Channa striata</i> <br> -  -  -  -  -  Osphronemidae <br> -  -  -  -  -  -  <i>Betta</i> <br> -  -  -  -  -  -  -  <i>Betta unimaculata</i> <br> -  -  -  -  -  Cichlidae <br> -  -  -  -  -  -  <i>Oreochromis</i> <br> -  -  -  -  -  -  -  <i>Oreochromis mossambicus</i> <br></div><p></p>
Water discharge rates at SAFE Project experimental streams
<b>Description: </b><p>Data for calculating stream discharge in SAFE's experimental rivers</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/115"><b>Effects of retaining riparian forest zones of differing width on stream hydrology following conversion to oil palm</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3479171">here</a></p><p><b>Files: </b>This consists of 1 file: Template_hydro.xlsx</p><p><b>Template_hydro.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>Stream level data for estimating discharge</b> (described in worksheet StreamLevels)</p><p>Description: Five-minute recordings of stream height Each recording has 10 separate values</p><p>Number of fields: 14</p><p>Number of data rows: 141659</p><p>Fields: </p><ul><li><b>Site</b>: Site of datalogger (Field type: location)</li><li><b>Datetime</b>: Date and time of measurement (Field type: datetime)</li><li><b>Distance1</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance2</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance3</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance4</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance5</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance6</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance7</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance8</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance9</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>Distance10</b>: Distance between datalogger and water surface (Field type: numeric)</li><li><b>LoggerBattery</b>: Battery level of the datalogger; max = 4.20V (Field type: numeric)</li><li><b>LoggerTemp</b>: Temperature of the datalogger (Field type: numeric)</li></ul></li><li><p><b>Salt dilution experiments to estimate discharge rates</b> (described in worksheet SaltDilution)</p><p>Description: Salt dilution experiments to estimate discharge rates. Experiments were repeated at each stream on multiple dates. Salt was added 2.5 minutes into each experiment. Details about sites and conditions relating to the experiments are in the 'SaltDilutionMeta' worksheet.</p><p>Number of fields: 6</p><p>Number of data rows: 14620</p><p>Fields: </p><ul><li><b>Site</b>: SAFE stream where dilution was carried out (Field type: location)</li><li><b>Date</b>: Date of dilution experiment (Field type: date)</li><li><b>Treatment</b>: Was salt added or not? (Field type: categorical)</li><li><b>Time</b>: Time since measurements began (Field type: numeric)</li><li><b>Conductivity</b>: Conductivity (Field type: numeric)</li><li><b>SaltConc</b>: Salt concentration (Field type: numeric)</li></ul></li><li><p><b>Calibration for salt dilution experiment</b> (described in worksheet SaltDilutionCalib)</p><p>Description: Calibrating salt concentration to conductivity measuments for salt dilution gauging</p><p>Number of fields: 3</p><p>Number of data rows: 8</p><p>Fields: </p><ul><li><b>Concentration</b>: Salt concentration (Field type: numeric)</li><li><b>Conductivity</b>: Conductivity (Field type: numeric)</li><li><b>Temp</b>: Water temperature (Field type: numeric)</li></ul></li><li><p><b>Salt dilution experiment metadata</b> (described in worksheet SaltDilutionMeta)</p><p>Description: Metadata giving context for salt dilution experiment data in 'SaltDilution' worksheet</p><p>Number of fields: 16</p><p>Number of data rows: 23</p><p>Fields: </p><ul><li><b>Site</b>: Stream on which salt dilution took place (Field type: location)</li><li><b>Date</b>: Date experiment was conducted (Field type: date)</li><li><b>Treatment</b>: Was salt added or not? (Field type: categorical)</li><li><b>SaltAmount</b>: Amount of salt added (Field type: numeric)</li><li><b>Start</b>: Start time (Field type: time)</li><li><b>End</b>: End time (Field type: time)</li><li><b>InitConducRelease</b>: Conductivity at start of experiment at location where salt was poured in (Field type: numeric)</li><li><b>InitConducRecord</b>: Conductivity at start of experiment at location where measurements were recorded (Field type: numeric)</li><li><b>EndConducRelease</b>: Conductivity at end of experiment at location where salt was poured in (Field type: numeric)</li><li><b>EndConducRecord</b>: Conductivity at end of experiment at location where measurements were recorded (Field type: numeric)</li><li><b>ReleaseLat</b>: Latitude of location where salt was released (Field type: numeric)</li><li><b>ReleaseLong</b>: Longitude of location where salt was released (Field type: numeric)</li><li><b>RecordLat</b>: Latitude of location where conductivity was recorded (Field type: numeric)</li><li><b>RecordLong</b>: Longitude of location where conductivity was recorded (Field type: numeric)</li><li><b>Distance between poured and measured (m)</b>: Distance between location where salt was released and conductivity was recorded (Field type: numeric)</li><li><b>Video</b>: Link to video of conductivity metre (Field type: id)</li></ul></li></ol><p><b>Date range: </b>2019-01-24 to 2019-07-01</p><p><b>Latitudinal extent: </b>4.6498 to 4.7317</p><p><b>Longitudinal extent: </b>117.5413 to 117.6233</p>
Mammal trapping grid data for the SAFE Project
<b>Description: </b><p>This zipfile contains point grids used for mammal live trapping and camera trapping at the SAFE Project. There are 46 grids, each one consisting of a 4 by 12 grid of points, spread across blocks of old growth forest, logged forest and oil palm.<br><br>The grids were established by Ollie Wearn and processed by David Orme to convert the original GIS files to a single dataset using the UTM 50N projetion. Details of the geoprocessing can be found here: <a href="https://www.safeproject.net/dokuwiki/safe_gis/mammaltraps">https://www.safeproject.net/dokuwiki/safe_gis/mammaltraps</a>.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3490613">here</a></p><p><b>Files: </b>This dataset consists of 2 files: SAFE_Mammal_traps_metadata.xlsx, SAFE_MammalTraps_UTM50N_WGS84.zip</p><p><b>SAFE_Mammal_traps_metadata.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>SAFE_MammalTraps_UTM50N_WGS84.zip</b></p><p>Description: Shapefile containing 2208 point locations of trapping grid points across SAFE locations</p><p>This file contains 1 data tables:</p><ol><li><p></p><p><b>Feature properties</b> (described in worksheet Properties)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 8</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>GPS_Ident</b>: Name of trap point in original GPS ident (Field type: location)</li><li><b>Altitude</b>: GPS Elevation of point (Field type: numeric)</li><li><b>Project</b>: Project name - all values are 'SAFE' (Field type: categorical)</li><li><b>Site</b>: SAFE Project main block identity for point (Field type: categorical)</li><li><b>Station</b>: Identical to GPS_Ident (Field type: location)</li><li><b>Location</b>: Specific location within main block (Field type: categorical)</li><li><b>Block</b>: Sub-block number or location within main site block (Field type: categorical)</li><li><b>Number</b>: Trap point number - each grid has 48 points (Field type: numeric)</li></ul><p></p></li></ol><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.6348 to 4.7539</p><p><b>Longitudinal extent: </b>116.9471 to 117.6254</p>
Country borders and shorelines around the SAFE Project
<b>Description: </b><p>This dataset contains regional country boundaries around the SAFE project from two online sources.<br><br><b>Digital chart of the world</b> from <a href="https://worldmap.harvard.edu/data/geonode:Digital_Chart_of_the_World">https://worldmap.harvard.edu/data/geonode:Digital_Chart_of_the_World</a>.<br><br><b>A Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG)</b>. This is a large vector GIS database containing shorelines for seas and lakes and other vector data layers at a number of different resolutions. The full archive was downloaded from: < href='http://www.soest.hawaii.edu/pwessel/gshhg/'>http://www.soest.hawaii.edu/pwessel/gshhg/<br><br>Details of the file extraction and coverage can be found here: <a href="https://www.safeproject.net/dokuwiki/safe_gis/country_shoreline">https://www.safeproject.net/dokuwiki/safe_gis/country_shoreline</a>.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3492126">here</a></p><p><b>Files: </b>This dataset consists of 2 files: SAFE_Country_border_metadata.xlsx, SAFE_shore_and_country_borders.zip</p><p><b>SAFE_Country_border_metadata.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>SAFE_shore_and_country_borders.zip</b></p><p>Description: Contains three shapefiles of local country borders</p><p>This file contains 3 data tables:</p><ol><li><p></p><p><b>Feature properties</b> (described in worksheet SAFE_Regional_DCW)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 13</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>ID</b>: Feature ID (Field type: id)</li><li><b>FIPS10_4</b>: FIPS country code (Field type: categorical)</li><li><b>COUNTRY</b>: Country name (Field type: categorical)</li><li><b>CONTCODE</b>: Continent code (Field type: categorical)</li><li><b>CONT</b>: Continent name (Field type: categorical)</li><li><b>F_CODE</b>: Geo code (Field type: categorical)</li><li><b>F_CODE_DES</b>: Description of F code (Field type: comments)</li><li><b>OW_ABBREV</b>: OW country codes (Field type: categorical)</li><li><b>ISO_A2</b>: Two letter ISO country code (Field type: categorical)</li><li><b>ISO_A3</b>: Three letter ISO country code (Field type: categorical)</li><li><b>VMAP_ID</b>: Base vector map source ids (Field type: categorical)</li><li><b>FACTBK_CTY</b>: Factbook Country name (Field type: categorical)</li><li><b>Fips2</b>: FIPS 2 character code (Field type: categorical)</li></ul><p></p></li><li><p></p><p><b>Feature properties</b> (described in worksheet SAFE_Regional_GSHHS_Shoreline_f)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 6</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>id</b>: Feature ID (Field type: id)</li><li><b>level</b>: Level of nesting of feature (Field type: numeric)</li><li><b>source</b>: Source of original geodata (Field type: categorical)</li><li><b>parent_id</b>: Unknown feature ID reference (all values = -1) (Field type: id)</li><li><b>sibling_id</b>: Unknown feature ID reference (all values = -1) (Field type: id)</li><li><b>area</b>: Area of feature (Field type: numeric)</li></ul><p></p></li><li><p></p><p><b>Feature properties</b> (described in worksheet SAFE_Regional_GSHHS_Shoreline_i)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 6</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>id</b>: Feature ID (Field type: id)</li><li><b>level</b>: Level of nesting of feature (Field type: numeric)</li><li><b>source</b>: Source of original geodata (Field type: categorical)</li><li><b>parent_id</b>: Unknown feature ID reference (all values = -1) (Field type: id)</li><li><b>sibling_id</b>: Unknown feature ID reference (all values = -1) (Field type: id)</li><li><b>area</b>: Area of feature (Field type: numeric)</li></ul><p></p></li></ol><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>-11.0049 to 21.1200</p><p><b>Longitudinal extent: </b>95.0000 to 141.0200</p>
Stream network for the SAFE Project derived from SRTM data
<b>Description: </b><p>This zipfile contains linear geometries showing a channel network across the SAFE Project landscape. The network was calculated using the GRASS hydrology tool <code>r.stream.extract</code> from SRTM elevation data and the resulting flow accumulation predictions (see <a href="https://zenodo.org/record/3490488">https://zenodo.org/record/3490488</a> and <a href="https://zenodo.org/record/3490687">https://zenodo.org/record/3490687</a>).<br><br>Note that these networks are derived entirely from remotely sensed data, but do form a single interconnected network across the wider SAFE landscape. Other stream network data are available () but the provenance of these are not well known and they only cover part of the SAFE network.<br><br>Details of the geoprocessing can be found here: <a href="https://www.safeproject.net/dokuwiki/safe_gis/stream_networks">https://www.safeproject.net/dokuwiki/safe_gis/stream_networks</a>.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3492009">here</a></p><p><b>Files: </b>This dataset consists of 2 files: SAFE_SRTM_Stream_network_metadata.xlsx, SRTM_Channels_network.zip</p><p><b>SAFE_SRTM_Stream_network_metadata.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>SRTM_Channels_network.zip</b></p><p>Description: Shapefile containing 54413 calculated segments forming a channel network across the wider SAFE landscape.</p><p>This file contains 1 data tables:</p><ol><li><p></p><p><b>Feature properties</b> (described in worksheet Properties)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 17</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>cat</b>: Identity of segment (Field type: id)</li><li><b>type_cd</b>: Segment type (see also type) (Field type: numeric)</li><li><b>ID</b>: Identity of segment (Field type: id)</li><li><b>length</b>: Length of network segment (Field type: numeric)</li><li><b>n_ponts</b>: Number of points in segment (Field type: numeric)</li><li><b>sourceX</b>: X coordinate of source point of segment (Field type: numeric)</li><li><b>sourceY</b>: Y coordinate of source point of segment (Field type: numeric)</li><li><b>sinkX</b>: X coordinate of sink point of segment (Field type: numeric)</li><li><b>sinkY</b>: Y coordinate of sink point of segment (Field type: numeric)</li><li><b>type</b>: Segment type - is the segment a source or outflow segment (connected at one end only, type_cd = 0) or internal (connected at both ends, type_cd=1) (Field type: categorical)</li><li><b>snkChnn</b>: Identity of sink channel for this segment (Field type: id)</li><li><b>srcChnn</b>: Identities of source channels for this segment (Field type: id)</li><li><b>nSourcs</b>: Count of source channels (Field type: numeric)</li><li><b>sorcElv</b>: Elevation of start point of segment (Field type: numeric)</li><li><b>sinkElv</b>: Elevation of sink point of segment (Field type: numeric)</li><li><b>sorcFlw</b>: Incoming flow at segment source (Field type: numeric)</li><li><b>sinkFlw</b>: Outgoing flow at segment sink (Field type: numeric)</li></ul><p></p></li></ol><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.0223 to 5.9761</p><p><b>Longitudinal extent: </b>116.0242 to 117.9758</p>
Alternative stream network data for the SAFE Project
<b>Description: </b><p>This zipfile contains three shapefiles of linear geometries showing channel networks across the SAFE landscape.<br></p><ul><br><li>RIVERS_UTM.shp: From Igor Lysenko's SAFE pack, this is a river network with two areas, covering Maliau and the area around the SAFE experimental region. The network density is much higher in Maliau than SAFE and the channel network around SAFE is not complete. This is projected in UTM50N WGS84.</li><br><li>LFEriver_SL.shp: This is provided (by Sarah Luke?) through Clare Wilkinson's GIS files and adds a critical missing stream for the Logged Forest Edge (LFE) catchment. This is projected in UTM50N WGS84.</li><br><li>all_rivers.shp: This is provided through Clare Wilkinson's GIS files and provides streams for a single region covering Danum and the SAFE experimental region but not sampled watersheds in Oil Palm plantations to the south of SAFE. The original file is missing projection information (no .prj file) but other files in the same dataset are projected in RSO Timbalai 1948 and using this projection fits with the context of other data. The version uploaded onto Zenodo has been reprojected into UTM50N WGS84.</li><br></ul><br><br>Although the files are not consistent, they do contain channels and channel data that are referenced in some studies. The provenance of these files are unknown, although the following suggests that they may be traced using GPS or from imagery:<br><ul><br><li>Incomplete coverage within the regions they cover.</li><br><li>Treatment of larger rivers, changing from a single line feature showing the stream centreline (?) to double lines showing the river banks.</li><br><li>Variation in network density: the western edge of all_rivers.shp shows a vertical band about 4 km wide of higher stream density than the rest of the region; RIVERS_UTM.shp shows marked differences in stream density between SAFE and Maliau.</li><br></ul><p></p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3492064">here</a></p><p><b>Files: </b>This dataset consists of 2 files: SAFE_Alternative_Stream_network_metadata.xlsx, Preexisting_SAFE_river_files.zip</p><p><b>SAFE_Alternative_Stream_network_metadata.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>Preexisting_SAFE_river_files.zip</b></p><p>Description: Contains three shapefiles of channel networks.</p><p>This file contains 3 data tables:</p><ol><li><p></p><p><b>Feature properties</b> (described in worksheet LFEriver_SL)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 1</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>Id</b>: Identity of river (Field type: id)</li></ul><p></p></li><li><p></p><p><b>Feature properties</b> (described in worksheet RIVERS_UTM)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 1</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>NAME</b>: Local name of segment (Field type: comments)</li></ul><p></p></li><li><p></p><p><b>Feature properties</b> (described in worksheet all_river_UTM50N_WGS84)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 10</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>FNODE_</b>: Unknown (Field type: numeric)</li><li><b>TNODE_</b>: Unknown (Field type: numeric)</li><li><b>LPOLY_</b>: Unknown (Field type: numeric)</li><li><b>RPOLY_</b>: Unknown (Field type: numeric)</li><li><b>LENGTH_MET</b>: Length of channel segment in metres (Field type: numeric)</li><li><b>RIV_YSC_</b>: Unknown (Field type: numeric)</li><li><b>RIV_YSC_ID</b>: Unknown (Field type: numeric)</li><li><b>CODE</b>: Unknown (Field type: numeric)</li><li><b>NAME</b>: Local name of segment (Field type: comments)</li><li><b>AREA</b>: Local area of segment (Field type: comments)</li></ul><p></p></li></ol><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.0223 to 5.9761</p><p><b>Longitudinal extent: </b>116.0242 to 117.9758</p>
SmartAqua4FuturE (SAFE) Horizone Europe project_WP2_T2.3.1_Keywater Fisheries_Vermiculture Dataset
Open the record for dataset details and reuse information.
Dung Beetle at Maliau and SAFE project_Undergraduate thesis
<p>This is the undergraduate final year project intended to establish the diversity of dung beetle in three different land use types, primary forest, secondary forest, and oil palm plantation in Sabah Malaysia in January 2016. We used human dung for all the pitfall traps, and the traps were set in the field for 24 hours. The traps were spaced 100 metres from one another. The field works were conducted on 21st-22nd; 24th-25th; 26th-27th January 2016.</p>
Project Sexual Awareness for Everyone (SAFE)
ClinicalTrials.gov study NCT00643019. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Project POWER, Adapting Project SAFE: Reducing STD/HIV Risk in Women Prisoners
ClinicalTrials.gov study NCT01111721. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Ecosystem process rates across SAFE project forest quality gradient
<b>Description: </b><p>Examining rates at which vertebrate and invertebrate functional groups carry out 3 key ecosystem functions (seed removal, invertebrate predation and scavenging) and whether this changes across the SAFE project forest quality gradient. At second order sites (tree plots) within the SAFE project landscape, bait stations to test these three processes were set up. These consisted of 10 seeds (to test seed removal), live mealworm (to test invertebrate predation) or dead mealworm (to test scavenging). 3 bait stations for each ecosystem process set up in a triangle at the third order point (insect point). These consisted of baits attached to a plastic leaf. Each of these bait stations was assigned vertebrate exclusion treatment (wire cage), invertebrate exclusion (insect glue) or control (no exclusion). Data obtained from LIDAR used as a proxy for forest quality. This should help unravel how ecosystem process rates and the dominant functional group carrying out these processes may change as forests are degraded.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/152"><b>MRes Tropical Forest Ecology Field Course</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3908118">here</a></p><p><b>Files: </b>This consists of 1 file: Ecosystem_Process_Rates.xlsx</p><p><b>Ecosystem_Process_Rates.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Rates of Ecosystem Processes</b> (described in worksheet Ecosystem-Process-Rates)</p><p>Description: Results from ecosystem process rates experiments (described above)</p><p>Number of fields: 29</p><p>Number of data rows: 2039</p><p>Fields: </p><ul><li><b>ID</b>: Location of sampling point (Field type: location)</li><li><b>ec5_uuid</b>: Entry code on epicollect (Field type: id)</li><li><b>created_at</b>: Date and Time (Field type: datetime)</li><li><b>created_by</b>: Author email (Field type: id)</li><li><b>title</b>: Title of entry on epicollect (Field type: id)</li><li><b>X2_Block</b>: Site ID (Field type: id)</li><li><b>X3_Tree_plot_ID</b>: Tree plot number (Field type: id)</li><li><b>X4_Picture_of_tree_pl</b>: Photo of tree plot tag (Field type: id)</li><li><b>X5_Insect_point_ID</b>: Insect point number (Field type: id)</li><li><b>X6_Picture_of_insect_</b>: Photo of insect point tag (Field type: id)</li><li><b>X7_Repeat</b>: Repeat (Field type: replicate)</li><li><b>X8_Treatment</b>: Treatment categories (Field type: categorical)</li><li><b>X9_Date</b>: Date (Field type: date)</li><li><b>X10_Time</b>: Time (Field type: time)</li><li><b>X11_Ecosystem_Process</b>: Ecosystem process (Field type: categorical)</li><li><b>X13_Seeds_removed</b>: Number of seeds removed (Field type: numeric)</li><li><b>X14_Seeds_partially_e</b>: Number of seeds partially eaten (Field type: numeric)</li><li><b>X15_Seeds_untouched</b>: Number of seeds untouched (Field type: numeric)</li><li><b>X17_Live_mealworm</b>: Level of consumption of live mealworm (Field type: categorical)</li><li><b>X19_Dead_mealworm</b>: Level of consumption of dead mealworm (Field type: categorical)</li><li><b>X20_Condition_of_trap</b>: Condition of trap (Field type: categorical)</li><li><b>lat_22_GPS</b>: NA (Field type: latitude)</li><li><b>long_22_GPS</b>: NA (Field type: longitude)</li><li><b>accuracy_22_GPS</b>: GPS accuracy level (Field type: numeric)</li><li><b>X23_Observer_initials</b>: Observer identity (Field type: id)</li><li><b>X24_Photo_of_plastic_</b>: Photo of bait station - photos stored online at Epicollect5 (Field type: id)</li><li><b>X25_Comments</b>: Any additional comments (Field type: comments)</li><li><b>Dead_mealworm_binary</b>: Dead mealworm presence (Field type: categorical)</li><li><b>Live_mealworm_binary</b>: Live mealworm presence (Field type: categorical)</li></ul></li></ol><p><b>Date range: </b>2019-02-04 to 2019-02-21</p><p><b>Latitudinal extent: </b>4.6876 to 4.7494</p><p><b>Longitudinal extent: </b>116.9558 to 117.6197</p>
Core SAFE project small mammal trapping data
<b>Description: </b><p>This is the combined dataset for the SAFE project's core small mammal trapping programme, which was run from 2011-2014 by O.R. Wearn, from 2015-2017 by P. M. Chapman, and from 2018-2019 by S. Heon. In total, trapping grids have been run at 30 sites across the SAFE landscape and control areas, covering blocks D, E, F, OG1, OG2, OG3 and OP2. However, since 2014 trapping has been limited to 12 standard permanent grids which are resampled annually: two in D (the 100ha fragment site), six in E (two each in the 1, 10 and 100ha sites), two in OG2 at the Maliau Basin Conservation area and two in OP2 at the Selangan Batu Oil Palm estate. In 2018, 2 new mammal grids were added : Dmatrix-1 and Ematrix-1 grid. The following grids were dropped E1-1, E10-1, E100-1 and D100-1, while D1-2 and D10-2 were sampled. In 2019, OG2-N, trap lines 1-8 were not accessible due to a massive landslide. In replacement, lines 47-56 were added to the trap grid for OG2-N. trapping grids Dmatrix-2 and Ematrix-2 were also added. All the new grids are reflected on the locations sheet. One standard annual sampling session comprises 96 traps run for seven nights, and the first sheet in the dataset ("Deployment") records this as 672 rows detailing the basic outcome of each trap night in the sampling session. There are several grids which form exceptions to this trapping pattern; details of these are recorded in the metadata. The subsequent two sheets (Corrected_Trapping_Data and Raw_Trapping_Data) form a more detailed record of captured animals. These sheets have the non-capture rows removed, along with most of the basic trap location and state data; however they can easily be linked back to the relevant rows in "Deployment" by the date and the unique trap identifier. At first capture, all possible details of captured animals are recorded, including age, sex, biometric measurements, crude estimates of parasite load, and the ID of any associated samples. All animals captured in good health were fitted with a Passive Integrated Transponder (PIT) Tag so the unique 10-digit alphanumeric number associated with each PIT tag is also recorded. Upon recapture, the animals are merely weighed and the PIT tag number and trap location recorded; this is partly to save time and partly to avoid unneccessary repeat anaesthesia. In 2018, Prevost's squirrel with the species code PVSQ was added into the species list. <br>The entire dataset from 2011-2017 was extensively error-checked by PMC in 2018, then from 2018-2019 by SH with many errors identified, recorded, and where possible, rectified. These errors are most frequently duplications or typos in the PIT tag string. Where these errors are unresolvable, the true unique ID of the individual is no longer certain, and its independence from other individuals cannot be guaranteed. These records will require omitting from most analyses. The detailed dataset with capture data is therefore presented in both its raw and corrected forms. ("Raw_Trapping_Data" and "Corrected_Trapping_Data", respectively). In the corrected datasheet, all the resolvable errors have been corrected, with a brief note made of what was done and why. Notes have also been added to irresolvable errors briefly explaining the problem, and recommending omission from analyses where appropriate. We strongly recommend that all users rely on the corrected version; however we also include the raw data for completeness. In 2018, an additional sheet - general site information details was added</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/140"><b>The impacts of tropical forest fragmentation on dispersal behaviour of mammal communities</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3955050">here</a></p><p><b>Files: </b>This consists of 1 file: SAFE_Core_Small_Mammal_Data_V3_2019_ROB_SUI.xlsx</p><p><b>SAFE_Core_Small_Mammal_Data_V3_2019_ROB_SUI.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>Basic trap outcome data</b> (described in worksheet Deployment)</p><p>Description: This is the basic trapping data covering the outcome of every trap night since the start of the study in 2011. It comprises merely the location and date information for the trap, the person who was responsible for baiting it, the state of the trap and bait on checking, any invertebrates captured, the number of small mammal captures (generally 0 or 1, but occasionally 2) and any notes pertaining to the trap itself.</p><p>Number of fields: 15</p><p>Number of data rows: 71123</p><p>Fields: </p><ul><li><b>Grid-Session-Occasion</b>: An identifier for the individual trapping day ("occasion") within a sampling year ("session"). This nomenclature originates from applying Spatially Explicit Capture-Recapture models to this data, however experience suggests this is the most concise, intuitive way of referring to a particular day of trapping (rather than using the actual date). This is applied to all grids which were trapped in the standard pattern of 96 traps run for seven consecutive days. There are five exceptions: OG2-E in 2011, D100-2 in 2011, D100-1 in 2012, F100-1 in 2012, and F100-2 in 2012. These were all trapped in a non-standard pattern (either total trapping effort ≠ 96 traps and 7 days, or there were gaps etween days such that the total trapped duration > 7 days). These exceptions are given NA (Field type: id)</li><li><b>Date</b>: The calendar date of trapping (Field type: date)</li><li><b>Block</b>: The SAFE sampling block (Field type: categorical)</li><li><b>Fragment</b>: The fragment (SAFE landscape; 1, 10, or 100ha) or sub-block (control sites; e.g. OP2, OG1, etc) of the sampling session. (Field type: id)</li><li><b>Grid</b>: The grid of the sampling session. There are two grids (1 and 2, numered outwards from the centre of the lock) in each fragment in the SAFE design, and three in each su-block in the control sites (North, East and West). (Field type: id)</li><li><b>Point</b>: The camera trap/small mammal sampling point where the trap was located. (Field type: id)</li><li><b>Trap</b>: The trap identifier (two traps, A and B, are located within a 5m radius of each sampling point) (Field type: id)</li><li><b>Unique_Point_ID</b>: Unique identifier for the sampling point (corresponds to the Locations sheet, and the locations in the Gazeteer) (Field type: location)</li><li><b>Unique_Trap_ID</b>: Unique identifier for the individual trap. (Field type: id)</li><li><b>State</b>: The state of the trap when checked. (Field type: categorical)</li><li><b>Bait</b>: The state of the bait when checked. (Field type: categorical)</li><li><b>Invertebrates</b>: Comments on any invertebrates found; in particular the presence of ants is frequently recorded, as these can be a severe danger to small mammals. (Field type: comments)</li><li><b>Capture_N</b>: Number of small mammals caught. This is almost invarialy zero or one, however very occasionally two are caught together. Models such as Spatially Explicit Capture Recapture treat small mammal traps as "single-catch" traps, and the model is violated y these occasions - so they are worth flagging up. (Field type: numeric)</li><li><b>Who_baited</b>: Person who baited the trap (Field type: comments)</li><li><b>Other_Notes</b>: Original supplementary field notes on the trap outcome or the animal captured. On the "Deployment" sheet this column has Been trimmed to only include notes covering the placement and condition of the traps - with notes pertaining to captured animals removed. (Field type: comments)</li></ul></li><li><p><b>Corrected trapping data</b> (described in worksheet Corrected_Trapping_Data)</p><p>Description: This is the modified, corrected version of the detailed trapping data covering all the small mammal captures from 2011 (i.e. blank rows are removed). It is directly based on the raw trapping data, however it has been fully verified, with all rectifiable errors corrected. Extra columns are included to: 1.) display any corrections to species ID and PIT tag ID of an individual record, 2.) explain the reason for corrections applied, or any unresolvable errors, and 3.) recommend a record for omission from analyses, where appropriate.</p><p>Number of fields: 36</p><p>Number of data rows: 8101</p><p>Fields: </p><ul><li><b>Grid-Session-Occasion</b>: An identifier for the individual trapping day ("occasion") within a sampling year ("session"). This nomenclature originates from applying Spatially Explicit Capture-Recapture models to this data, however experience suggests this is the most concise, intuitive way of referring to a particular day of trapping (rather than using the actual date). This is applied to all grids which were trapped in the standard pattern of 96 traps run for seven consecutive days. There are five exceptions: OG2-E in 2011, D100-2 in 2011, D100-1 in 2012, F100-1 in 2012, and F100-2 in 2012. These were all trapped in a non-standard pattern (either total trapping effort ≠ 96 traps and 7 days, or there were gaps between days such that the total trapped duration > 7 days). These exceptions are given NA (Field type: id)</li><li><b>Date</b>: The calendar date of trapping (Field type: date)</li><li><b>Unique_Point_ID</b>: Unique identifier for the sampling point (corresponds to the Locations sheet, and the locations in the Gazeteer) (Field type: location)</li><li><b>Unique_Trap_ID</b>: Unique identifier for the individual trap. (Field type: id)</li><li><b>Species</b>: Raw species ID for the captured animal. All "target" small mammals receive an identifying code for brevity (see the Taxa sheet) while occasional caputures of "non-target" taxa (larger mammals, other vertebrates) are referred to in full. Fully unknown small mammal species are referred to as "Unknown". (Field type: taxa)</li><li><b>Species_Validated</b>: Corrected, verified species ID for the captured animal. This should be used in preference to "Species" as any misidentifications have been amended. Codes follow those in the "Raw Taxon" column (Field type: taxa)</li><li><b>Species_Uncertainty</b>: Indicates uncertainty around the species identification (after correction). Species IDs are not alwaysCERtain, especially in the case of aberrant individuals, cryptic species or complexes such as Rattus, or heavily scavenged dead indivuduals. (Field type: categorical)</li><li><b>New/Recapture</b>: Indicates whether the individual is a new record or a recapture. NB: Biometric data (apart from weight) is not collected for recaptures for reasons of time and ethics (unnecessary anaesthesia). (Field type: categorical)</li><li><b>PIT_Tag/ID</b>: Raw individual ID for the captured animal. This is usually a 10-digit numeric or alphanumeric string, the number of the fitted Passive Integrated Transponder (PIT) tag. All zeros in PIT strings are replaced with capital Os due to persistent problems with Excel irreversibly modifying particular string formats (these errors are included in this raw data). Various other "generic" individual IDs have been applied to occasional animals which were untagged but somehow deemed to be otherwise identifiable. The format and use of these varies between fieldworkers and has not been standardised here in this raw verson. (Field type: id)</li><li><b>PIT_Tag/ID_Validated</b>: Corrected, validated individual ID for the captured small mammal. This should be used in preference to "PIT_Tag/ID" as resolvable errors have been amended. In some occasional cases this ID does not correspond to the (corrected) PIT tag string. In these cases a standardised generic ID was applied, generally under two possible conditions: 1.) The individual was released alive without tagging but there is effectively no chance of recapture (such as an animal on the last day of trapping in an isolated block which was not trapped subsequently). 2.) The animal was a new, untagged individual found dead in the trap. Case 1: individuals recieve an identifier comprised of the species code and a unique three-digit number e.g. "WH001". Case 2: Individuals recieve a unique two-digit number preceded by "NewDead". (Field type: id)</li><li><b>Age</b>: Age of the individual captured. Uncertain ages are given with question marks. Completely unknown or unrecorded age are given as NA. (Field type: categorical trait)</li><li><b>Sex</b>: Sex of the individual captured. Uncertain sexes are given with question marks. Completely unknown or unrecorded sexes are given as NA. (Field type: categorical trait)</li><li><b>Sexing_Notes</b>: Notes on criteria used for sexing. (Field type: comments)</li><li><b>HF</b>: (Left) Hind foot measurement (Field type: numeric trait)</li><li><b>E</b>: (Left) Ear length measurement (only rats) (Field type: numeric trait)</li><li><b>AGD</b>: Ano-genital distance measurement (only rats) (Field type: numeric trait)</li><li><b>HB</b>: Head-body length measurement (only treeshrews, squirrels and some rat species where ID is uncertain) (Field type: numeric trait)</li><li><b>T</b>: Tail length measurement (only treeshrews, squirrels and some rat species where ID is uncertain) (Field type: numeric trait)</li><li><b>T_%_of_HB</b>: Tail length as a percentage of body head-body length (Field type: numeric trait)</li><li><b>MZ</b>: Muzzle length measurement (only treeshrews) (Field type: numeric trait)</li><li><b>Bag_W</b>: Mass of the polythene weighing bag (Field type: numeric)</li><li><b>Gross_W</b>: Mass of the polythene weighing bag including animal (Field type: numeric)</li><li><b>Net_W</b>: Mass of the animal (Field type: numeric)</li><li><b>Parasite_Count</b>: Approximate ectoparasite load: rough visual count of the number of fur mites and other ectoparasites shed within the anaesthesia pot during anaesthesia (Field type: numeric trait)</li><li><b>Body_Fat</b>: Body fat score: a nine-level categorical score. Only applied from 2017 onwards. (Field type: categorical trait)</li><li><b>Injuries</b>: Description of any injuries or visible signs of diease to the captured small mammal. (Field type: comments)</li><li><b>Dead</b>: Was the individual found dead, or euthanised in the course of processing? (Field type: categorical trait)</li><li><b>Tissue_Sample_ID</b>: Identifier for any tissue samples taken (rats only, from the right ear) (Field type: id)</li><li><b>Parasite_Sample_ID</b>: Identifier for any parasite samples taken (Field type: id)</li><li><b>Fur_sample_ID</b>: Identifier for any fur samples taken (Field type: id)</li><li><b>Faecal_Sample_1_ID</b>: Identifier for any faecal samples taken (for first investigator) (Field type: id)</li><li><b>Faecal_Sample_2_ID</b>: Identifier for any faecal samples taken (for second investigator) (Field type: id)</li><li><b>Processor</b>: Person who processed the animal (Field type: comments)</li><li><b>Omit</b>: Identifies individuals which should be omitted from all analyses ("Y") or some analyses ("SA") due to data errors (Field type: categorical)</li><li><b>Correction_Notes</b>: Comments on any corrections made or reasoning for suggesting omissions in "Omit". Omissions are usually due to the individual ID or species ID of a capture being uncertain. Several common omission reasons are recorded with standard prhases in capitals for clarity: these include escapes, animals released untagged for various reasons (including non-target captures), and dead individuals where species identification was impossible or where it was uncertain if the individual was new or a recapture. More complex cases are discussed individually. (Field type: comments)</li><li><b>Other_Notes</b>: Original supplementary field notes on the trap outcome or the animal captured. This column includes supporting notes for ID, descriptions of the circumstances of a death, admissions of missing data, etc etc. These have not been error-checked or modified. (Field type: comments)</li></ul></li><li><p><b>Raw trapping data</b> (described in worksheet Raw_Trapping_Data)</p><p>Description: This is the unmodified, raw version of the detailed trapping data, covering all the small mammal sampling from 2011 (i.e. blank rows are removed). It is included for information only and we do not recommend that it is used.</p><p>Number of fields: 32</p><p>Number of data rows: 8101</p><p>Fields: </p><ul><li><b>Grid-Session-Occasion</b>: An identifier for the individual trapping day ("occasion") within a sampling year ("session"). This nomenclature originates from applying Spatially Explicit Capture-Recapture models to this data, however experience suggests this is the most concise, intuitive way of referring to a particular day of trapping (rather than using the actual date). This is applied to all grids which were trapped in the standard pattern of 96 traps run for seven consecutive days. There are five exceptions: OG2-E in 2011, D100-2 in 2011, D100-1 in 2012, F100-1 in 2012, and F100-2 in 2012. These were all trapped in a non-standard pattern (either total trapping effort ≠ 96 traps and 7 days, or there were gaps between days such that the total trapped duration > 7 days). These exceptions are given NA (Field type: id)</li><li><b>Date</b>: The calendar date of trapping (Field type: date)</li><li><b>Unique_Point_ID</b>: Unique identifier for the sampling point (corresponds to the Locations sheet, and the locations in the Gazeteer) (Field type: location)</li><li><b>Unique Trap ID</b>: Unique identifier for the individual trap. (Field type: id)</li><li><b>Species</b>: Raw species ID for the captured animal. All "target" small mammals receive an identifying code for brevity (see the Taxa sheet) while occasional captures of "non-target" taxa (larger mammals, other vertebrates) are referred to in full. Fully unknown small mammal species are referred to as "Unknown". (Field type: taxa)</li><li><b>Species Uncertainty</b>: Indicates uncertainty around the species identification. Species IDs are not always certain, especially in the case of aberrant individuals, cryptic species or complexes such as Rattus, or heavily scavenged dead indivuduals. (Field type: categorical)</li><li><b>New/Recapture</b>: Indicates whether the individual is a new record or a recapture. NB: Biometric data (apart from weight) is not collected for recaptures for reasons of time and ethics (unnecessary anaesthesia). (Field type: categorical)</li><li><b>PIT_Tag/ID</b>: Raw individual ID for the captured animal. This is usually a 10-digit numeric or alphanumeric string, the number of the fitted Passive Integrated Transponder (PIT) tag. All zeros in PIT strings are replaced with capital Os due to persistent problems with Excel irreversibly modifying particular string formats (these errors are included in this raw data). Various other "generic" individual IDs have been applied to occasional animals which were untagged but somehow deemed to be otherwise identifiable. The format and use of these varies between fieldworkers and has not been standardised here in this raw dataset. (Field type: id)</li><li><b>Age</b>: Age of the individual captured. Uncertain ages are given with question marks. Completely unknown or unrecorded age are given as NA. (Field type: categorical trait)</li><li><b>Sex</b>: Sex of the individual captured. Uncertain sexes are given with question marks. Completely unknown or unrecorded sexes are given as NA. (Field type: categorical trait)</li><li><b>Sexing Notes</b>: Notes on criteria used for sexing. (Field type: comments)</li><li><b>HF</b>: (Left) Hind foot measurement (Field type: numeric trait)</li><li><b>E</b>: (Left) Ear length measurement (only rats) (Field type: numeric trait)</li><li><b>AGD</b>: Ano-genital distance measurement (only rats) (Field type: numeric trait)</li><li><b>HB</b>: Head-body length measurement (only treeshrews, squirrels and some rat species where ID is uncertain) (Field type: numeric trait)</li><li><b>T</b>: Tail length measurement (only treeshrews, squirrels and some rat species where ID is uncertain) (Field type: numeric trait)</li><li><b>T % of HB</b>: Tail length as a percentage of body head-body length (Field type: numeric trait)</li><li><b>MZ</b>: Muzzle length measurement (only treeshrews) (Field type: numeric trait)</li><li><b>Bag W</b>: Mass of the polythene weighing bag (Field type: numeric)</li><li><b>Gross W</b>: Mass of the polythene weighing bag including animal (Field type: numeric)</li><li><b>Net W</b>: Mass of the animal (Field type: numeric)</li><li><b>Parasite Count</b>: Approximate ectoparasite load: rough visual count of the number of fur mites and other ectoparasites shed within the anaesthesia pot during anaesthesia (Field type: numeric trait)</li><li><b>Body Fat</b>: Body fat score: a nine-level categorical score. Only applied from 2017 onwards. (Field type: categorical trait)</li><li><b>Injuries</b>: Description of any injuries or visible signs of diease to the captured small mammal. (Field type: comments)</li><li><b>Dead</b>: Was the individual found dead, or euthanised in the course of processing? (Field type: categorical trait)</li><li><b>Tissue Sample ID</b>: Identifier for any tissue samples taken (rats only, from the right ear) (Field type: id)</li><li><b>Parasite Sample ID</b>: Identifier for any parasite samples taken (Field type: id)</li><li><b>Fur sample ID</b>: Identifier for any fur samples taken (Field type: id)</li><li><b>Faecal Sample 1 ID</b>: Identifier for any faecal samples taken (for first investigator) (Field type: id)</li><li><b>Faecal Sample 2 ID</b>: Identifier for any faecal samples taken (for second investigator) (Field type: id)</li><li><b>Processor</b>: Person who processed the animal (Field type: comments)</li><li><b>Other Notes</b>: Original supplementary field notes on the trap outcome or the animal captured. This column includes supporting notes for ID, descriptions of the circumstances of a death, admissions of missing data, etc etc. These have not been error-checked or modified. (Field type: comments)</li></ul></li><li><p><b>Site deployment information</b> (described in worksheet Site_Deployment_Info)</p><p>Description: This sheet contains information about the weather condition, animal occurrences or human disturbances which may influence the live mammal trapping outcome during the course of the live trapping. It contains the grid information, trapping day, data, observers and the weather condition and if any general observations made about the grid on the trapping days. </p><p>Number of fields: 6</p><p>Number of data rows: 154</p><p>Fields: </p><ul><li><b>Location</b>: Grid-Session-Occasion (Field type: id)</li><li><b>Day</b>: Trapping day number (Field type: id)</li><li><b>Date</b>: Date of trap collection (Field type: date)</li><li><b>Observer</b>: Observer (Field type: comments)</li><li><b>Weather condition</b>: Weather notes (Field type: comments)</li><li><b>General Notes</b>: Other notes (Field type: comments)</li></ul></li></ol><p><b>Date range: </b>2011-05-12 to 2019-11-22</p><p><b>Latitudinal extent: </b>4.6429 to 4.7539</p><p><b>Longitudinal extent: </b>116.9471 to 117.5938</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Aves <br> -  -  -  -  Cuculiformes <br> -  -  -  -  -  Cuculidae <br> -  -  -  -  -  -  <i>Centropus</i> <br> -  -  -  -  Passeriformes <br> -  -  -  -  -  Timaliidae <br> -  -  -  -  -  -  <i>Macronus</i> <br> -  -  -  -  -  -  -  <i>Macronus bornensis</i> <br> -  -  -  -  -  Pellorneidae <br> -  -  -  -  -  -  <i>Malacocincla</i> <br> -  -  -  -  -  -  -  <i>Malacocincla malaccensis</i> <br> -  -  -  -  -  Pittidae <br> -  -  -  -  -  -  <i>Pitta</i> <br> -  -  -  -  -  -  -  <i>Pitta arquata</i> <br> -  -  -  Mammalia <br> -  -  -  -  Rodentia <br> -  -  -  -  -  Sciuridae <br> -  -  -  -  -  -  <i>Callosciurus</i> <br> -  -  -  -  -  -  -  <i>Callosciurus adamsi</i> <br> -  -  -  -  -  -  -  <i>Callosciurus notatus</i> <br> -  -  -  -  -  -  -  <i>Callosciurus prevostii</i> <br> -  -  -  -  -  -  <i>Lariscus</i> <br> -  -  -  -  -  -  -  <i>Lariscus hosei</i> <br> -  -  -  -  -  -  <i>Sundasciurus</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus brookei</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus hippurus</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus lowii</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus tenuis</i> <br> -  -  -  -  -  Muridae <br> -  -  -  -  -  -  <i>Maxomys</i> <br> -  -  -  -  -  -  -  <i>Maxomys rajah</i> <br> -  -  -  -  -  -  -  <i>Maxomys ochraceiventer</i> <br> -  -  -  -  -  -  -  <i>Maxomys surifer</i> <br> -  -  -  -  -  -  -  <i>Maxomys baeodon</i> <br> -  -  -  -  -  -  <i>Rattus</i> <br> -  -  -  -  -  -  -  <i>Rattus tiomanicus</i> <br> -  -  -  -  -  -  -  <i>Rattus exulans</i> <br> -  -  -  -  -  -  -  <i>Rattus rattus</i> <br> -  -  -  -  -  -  <i>Sundamys</i> <br> -  -  -  -  -  -  -  <i>Sundamys muelleri</i> <br> -  -  -  -  -  -  <i>Niviventer</i> <br> -  -  -  -  -  -  -  <i>Niviventer cremoriventer</i> <br> -  -  -  -  -  -  <i>Chrotomys</i> <br> -  -  -  -  -  -  -  <i>Chrotomys whiteheadi</i> (as homotypic_synonym: <i>Maxomys whiteheadi</i>)<br> -  -  -  -  -  -  <i>Leopoldamys</i> <br> -  -  -  -  -  -  -  <i>Leopoldamys sabanus</i> <br> -  -  -  -  Carnivora <br> -  -  -  -  -  Viverridae <br> -  -  -  -  -  -  <i>Viverra</i> <br> -  -  -  -  -  -  -  <i>Viverra tangalunga</i> <br> -  -  -  -  -  Mustelidae <br> -  -  -  -  -  -  <i>Martes</i> <br> -  -  -  -  -  -  -  <i>Martes flavigula</i> <br> -  -  -  -  Erinaceomorpha <br> -  -  -  -  -  Erinaceidae <br> -  -  -  -  -  -  <i>Echinosorex</i> <br> -  -  -  -  -  -  -  <i>Echinosorex gymnura</i> <br> -  -  -  -  Scandentia <br> -  -  -  -  -  Tupaiidae <br> -  -  -  -  -  -  <i>Tupaia</i> <br> -  -  -  -  -  -  -  <i>Tupaia longipes</i> <br> -  -  -  -  -  -  -  <i>Tupaia minor</i> <br> -  -  -  -  -  -  -  <i>Tupaia tana</i> <br> -  -  -  -  -  -  -  <i>Tupaia gracilis</i> <br> -  -  -  -  -  -  -  <i>Tupaia dorsalis</i> <br> -  -  -  Reptilia <br> -  -  -  -  Squamata <br> -  -  -  -  -  Gekkonidae <br> -  -  -  -  -  Scincidae <br> -  -  -  -  -  Varanidae <br> -  -  -  -  -  -  <i>Varanus</i> <br></div><p></p>
2020 SAFE Project Clidemia hirta survey data
<b>Description: </b><p>MRes Tropical Forest Ecology field course dataset examining distribution and phenology of Clidemia hirta</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/152"><b>MRes Tropical Forest Ecology Field Course</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3976021">here</a></p><p><b>Files: </b>This consists of 1 file: Clidemia_data_revisedCL2.xlsx</p><p><b>Clidemia_data_revisedCL2.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>Site_information</b> (described in worksheet Site_information)</p><p>Description: Information about the sites that were sampled</p><p>Number of fields: 14</p><p>Number of data rows: 21</p><p>Fields: </p><ul><li><b>Plot_Name</b>: SAFE Project plot code (Field type: location)</li><li><b>Subplot_Name</b>: Subplot within vegetation plot. A = NW, B = NE, C = SW, D = SE (Field type: replicate)</li><li><b>Lattitude</b>: Latitude of plot (Field type: numeric)</li><li><b>Longitude</b>: Longitude of plot (Field type: numeric)</li><li><b>GPS_Accuracy</b>: Accuracy of GPS measurements (Field type: numeric)</li><li><b>sampled.area</b>: Proportion of plot that was surveyed. "Subplot" level refers to a 12.5 x 12.5 m2 surveyed within the 25 x 25 m2 vegetation plot. "25m2subset" refers to a 5 x 5 m2 subsetted survey area. "10m2subset" refers to a further subsetted survey area of 2 x 5 m2. "7/8plot" refers to a survey area of 7/8 of the 25 x 25 m2 vegetation plot. (Field type: categorical)</li><li><b>Survey.area</b>: The area surveyed (Field type: numeric)</li><li><b>No.Individuals_sampled</b>: Number of individuals observed in the sample plot (Field type: abundance)</li><li><b>No.Individuals_per_ha</b>: Number of individuals observed per hectare (Field type: abundance)</li><li><b>Date</b>: Date of survey (Field type: date)</li><li><b>Time</b>: Time of day (Field type: time)</li><li><b>Collector_name</b>: Names of data collectors (Field type: id)</li><li><b>Comments</b>: Additional description of the surveyed area and/or any adjustments on survey area (Field type: comments)</li><li><b>Plot_photo</b>: Link to photo of the plot; images are held on five.epicollect.net (Field type: id)</li></ul></li><li><p><b>Plant_information</b> (described in worksheet Plant_information)</p><p>Description: Plot data on Clidemia hirta, including abundance and phenology</p><p>Number of fields: 11</p><p>Number of data rows: 832</p><p>Fields: </p><ul><li><b>Plot_name</b>: SAFE Project plot code (Field type: location)</li><li><b>Plant_Number</b>: Numbered replicates of plants within surveyed area (Field type: replicate)</li><li><b>Height</b>: Height of the plant (Field type: numeric trait)</li><li><b>Diameter1</b>: Diameter of the plant (Field type: numeric trait)</li><li><b>Diameter2</b>: Diameter of the plant measured at right angles to Diameter1 (Field type: numeric trait)</li><li><b>Total_No.Fruit</b>: Number of fruits (Field type: numeric trait)</li><li><b>No.Mature_Fruit</b>: Number of mature fruits. Mature fruit defined by the purple coloration of the fruit (Field type: numeric trait)</li><li><b>No.Immature_Fruit</b>: Number of immature fruit (Field type: numeric trait)</li><li><b>No.Flowers</b>: Number of flowers (Field type: numeric trait)</li><li><b>IndividualorClump</b>: Whether the plants were examined individually or as a clump (Field type: categorical)</li><li><b>No.Individuals</b>: Number of stems assessed for phenology. In some cases we could not distinguish individual plants so reproductive output was assessed collectively for a group of individuals. Those rows therefore contains information combined from all these poorly distinguished individuals. (Field type: numeric trait)</li></ul></li><li><p><b>Sugar_information</b> (described in worksheet Sugar_information)</p><p>Description: Sugar content of fruits collected from plots</p><p>Number of fields: 12</p><p>Number of data rows: 15</p><p>Fields: </p><ul><li><b>Site</b>: SAFE Project plot code (Field type: location)</li><li><b>WithbowlWetWeight</b>: Wet weight of the samples (Field type: numeric)</li><li><b>WithorWithoutBowlWet</b>: Does WetWeight include weight of the bowl? (Field type: categorical)</li><li><b>WithbowlDryWeight</b>: Dry weight of the samples (Field type: numeric)</li><li><b>WithorWithoutBowlDry</b>: Does DryWeight include weight of the bowl? (Field type: categorical)</li><li><b>Bowlweight</b>: Weight of the bowl (Field type: numeric)</li><li><b>BerryNumber</b>: Number of individual fruits being weighed (Field type: numeric)</li><li><b>EndWetWeight</b>: Wet weight of fruits after removing weight of bowl (Field type: numeric)</li><li><b>WaterCalculated</b>: Volume of water needed to dilute the berry juice-water mixture into a ratio of juice:water = 2:3. (Field type: numeric)</li><li><b>Wateractual</b>: Actual volume of water added for dilution (Field type: numeric)</li><li><b>Percentsugar</b>: Sugar content of fruit (Field type: numeric trait)</li><li><b>sugarpergramoffruit</b>: Sugar density per weight of fruit (Field type: numeric trait)</li></ul></li></ol><p><b>Date range: </b>2020-02-04 to 2020-02-11</p><p><b>Latitudinal extent: </b>4.6908 to 4.7300</p><p><b>Longitudinal extent: </b>117.5746 to 117.6515</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Plantae <br> -  -  Tracheophyta <br> -  -  -  Magnoliopsida <br> -  -  -  -  Myrtales <br> -  -  -  -  -  Melastomataceae <br> -  -  -  -  -  -  <i>Clidemia</i> <br> -  -  -  -  -  -  -  <i>Clidemia hirta</i> <br></div><p></p>
Microclimate dataset of the SAFE project landscape
<p>Daily projections of mean and maximum temperature and vapour pressure deficit (VPD) across the SAFE landscape in Borneo, Malaysia. Data was used to model the number of yearly life-cycle completions (LCC/year) of the disease vector Aedes Albopictus in order to study the impact of deforestation for oil palm plantation on microclimate-driven vector suitability. Dataset contains stacked raster files with a 50-meter grid cell resolution (n = 145,214 grid cells, equivalent to approximately 363 km2). Microclimate data were projected using LiDAR-derived DEM, CHM and point cloud-derived metrics, combined with microclimatic data from dataloggers, as inputs (see associated doi for more information: Jucker et al (2018)).</p> <p><strong>Date range: </strong>2013-05-01 to 2015-03-01<br> <strong>Latitudinal extent: </strong>4.5000 to 5.0700<br> <strong>Longitudinal extent: </strong>116.7500 to 117.8200</p>
Safe Play Areas for Ross County Kids Project
ClinicalTrials.gov study NCT01291225. IPD Sharing: NO. Countries: 1. Publications: 0.
Coupons for Safe Water Project
ClinicalTrials.gov study NCT05766826. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.